Bayesian econometrics
Koop, G.M. (2003) Bayesian econometrics. John Wiley & Sons Inc., United Kingdom. ISBN 978-0-470-84567-7
Full text not available in this repository.Abstract
Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.
ORCID iDs
Koop, G.M. ORCID: https://orcid.org/0000-0002-6091-378X;-
-
Item type: Book ID code: 7949 Dates: DateEventApril 2003PublishedSubjects: Social Sciences > Commerce Department: Strathclyde Business School > Economics Depositing user: Strathprints Administrator Date deposited: 19 Jan 2010 11:19 Last modified: 11 Nov 2024 15:38 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/7949